Sonith ManakkatClaude AI: from first steps to mastery
A twelve-part, picture-led path from what Claude is, through prompts, plans, pricing and tokens, to context, CLAUDE.md, skills, sharing with a team, MCP versus APIs, Claude Code and a map of the wider AI tools landscape.
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Read the parts in order if you are new, or jump to the one you need. Facts about models, plans and prices were checked against official Anthropic pages on 2026-10-21 and are linked at the end of each part.
What is Claude AI? A plain-language guide
Who makes Claude, what a language model is, what it can and cannot do, and how people use it, with the newest models as of 21 October 2026.
The basics to understand before you use Claude seriously
The prompt, system prompts, the context window, thinking, tools, agents and hallucination, each explained with a picture first and an expert layer second.
How to get really good with Claude: ten practical habits
Clear prompts, context, examples, planning, iteration and checking, with before-and-after prompts, and how to give Claude standing instructions.
Claude pricing and plans explained
Plans for people and teams versus paying per token through the API, why input and output cost differently, and how caching and batching cut the bill. Prices checked on 21 October 2026.
Tokens explained: how to use Claude without wasting them
What a token is, why long chats cost more and work worse, and nine practical ways to save tokens, with a small calculator where you enter your own rates.
Context explained: what Claude knows right now
What goes into Claude's context, why long chats get worse and cost more, what survives compaction, and practical ways to give Claude exactly the right context.
CLAUDE.md and memory: teach Claude once, reuse forever
What CLAUDE.md is, where it lives, what to put in it (and what never to), how auto memory differs, and how Projects in the Claude app do a similar job.
Skills explained: reusable know-how packages for Claude
What Agent Skills are, how a skill is just a folder with a SKILL.md, why skills save context, and how they differ from prompts, CLAUDE.md, MCP and subagents.
Reuse context and share it with your team: a practical playbook
How to turn what you taught Claude into something the whole team shares: CLAUDE.md in git, project skills, shared connections, plugins, Projects, plus a cheat sheet for choosing the right tool.
MCP vs API: what is the difference, and when do you need which
A picture-led comparison of the Model Context Protocol and ordinary APIs: who calls whom, how tools are discovered, why they are partners rather than rivals, the security picture, and how to try an MCP server safely in Claude Code.
Claude Code and AI agents for builders, and how to use them safely
What Claude Code is, how an agent loop works, which permissions protect you, how skills, subagents, hooks and MCP fit in, and a safe working routine.
The AI tools landscape: from beginner to advanced
A depth ladder of AI tools by what you want done and how much control you give: beginner chat and writing, intermediate voice, video and automation, advanced agents and connections, with a decision path, a permission ladder and a 30-day plan.